Radio signal identification, identification system learning, and identifier deployment

One or more non-transitory computer-readable media storing instructions that, when executed on one or more processors, cause the one or more processors to perform operations comprising:

• training at least one machine learning network, wherein training the at least one machine learning network comprises:
• obtaining an initial RF signal from a stored dataset,
• obtaining an altered RF signal by augmenting the initial RF signal with at least one of an interference effect or a spatial propagation effect, and
• training the at least one machine learning network based on the altered RF signal in association with label information;
• obtaining a first RF signal transmitted through a communication medium;
• providing the first RF signal as input to the at least one machine learning network, wherein the at least one machine learning network comprises a convolutional neural network (CNN) or a recurrent neural network (RNN);
• in response to providing the first RF signal as input to the at least one machine learning network, obtaining, as an output of the at least one machine learning network, a characteristic of electromagnetic interference present in the communication medium;
• and
• based on the characteristic of the electromagnetic interference, controlling a parameter of an RF receiver.

A system comprising:

• one or more processors;
• and
• one or more storage devices storing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations comprising:
• training at least one machine learning network, wherein training the at least one machine learning network comprises:
• obtaining an initial RF signal from a stored dataset,
• obtaining an altered RF signal by augmenting the initial RF signal with at least one of an interference effect or a spatial propagation effect, and
• training the at least one machine learning network based on the altered RF signal in association with label information;
• obtaining a first RF signal transmitted through a communication medium;
• providing the first RF signal as input to the at least one machine learning network, wherein the at least one machine learning network comprises a convolutional neural network (CNN) or a recurrent neural network (RNN);
• in response to providing the first RF signal as input to the at least one machine learning network, obtaining, as an output of the at least one machine learning network, a characteristic of electromagnetic interference present in the communication medium;
• and
• based on the characteristic of the electromagnetic interference, controlling a parameter of an RF receiver.